activity
20202024
most citedA Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding

9 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2024

Duality of Stochastic Observability and Constructability and Links to Fisher Information

Burak Boyacıoğlu, Floris van Breugel

Given a set of measurements, observability characterizes the distinguishability of a system's initial state, whereas constructability focuses on the final state in a trajectory. In…

physics.geo-ph2023

A Method for Classifying Snow Using Ski-Mounted Strain Sensors

Florian McLelland, Floris van Breugel

Understanding the structure, quantity, and type of snow in mountain landscapes is crucial for assessing avalanche safety, interpreting satellite imagery, building accurate hydrolog…

eess.SY2023

Empirical Individual State Observability

Benjamin Cellini, Burak Boyacıoğlu, Floris van Breugel

A dynamical system is observable if there is a one-to-one mapping from the system's measured outputs and inputs to all of the system's states. Analytical and empirical tools exist…

eess.SY2021★ 9 cited

A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding

Floris van Breugel

Estimating the direction of ambient fluid flow is key for many flying or swimming animals and robots, but can only be accomplished through indirect measurements and active control.…

math.DS2020★ 2 cited

Numerical differentiation of noisy data: A unifying multi-objective optimization framework

Floris van Breugel, J. Nathan Kutz, Bingni W. Brunton

Computing derivatives of noisy measurement data is ubiquitous in the physical, engineering, and biological sciences, and it is often a critical step in developing dynamic models or…